SAP Data Architect

Overview

On Site
Depends on Experience
Full Time

Skills

SAP
SAP BASIS
Data Modeling
Data Quality
SAP BI
Data Governance
Meta-data Management
SAP MDG
SAP BW
Business Data Cloud
Artificial Intelligence

Job Details

This position is open for both full-time and contract and requires Day 1 onsite position. Candidates must have above 13+ years of IT experience.

Expectations / Deliverables for the Role

  • Builds the SAP data foundation by defining how SAP systems store, share, and manage trusted enterprise data.
  • Produces reference data architectures by leveraging expert input from application, analytics, integration, platform, and security teams. These architectures form the basis for new solutions and enterprise data initiatives.
  • Enables analytics and AI use cases by ensuring data is consistent, governed, and discoverable.
  • Leverages SAP Business Data Cloud, Datasphere, MDG and related capabilities to unify data and eliminate duplicate data copies.
  • Defines and maintains common data model catalogs to create a shared understanding of core business data.
  • Evolves data governance, ownership, metadata, and lineage standards across the enterprise.
  • Protects core transactional systems by preventing excessive replication and extraction loads.

 

Technical Proficiency

  • Strong knowledge of SAP master and transactional data domains.
  • Hands-on experience with SAP MDG, Business Data Cloud, BW, Datasphere, or similar platforms.
  • Expertise in data modeling, metadata management, data quality, and data governance practices.
  • Understanding of data architectures that support analytics, AI, and regulatory requirements.
  • Experience integrating SAP data with non-SAP analytics and reporting platforms.

 

Soft Skills

  • Ability to align data, and engineering teams around a shared data vision, drive consensus on data standards and decisions
  • Strong facilitation skills to resolve data ownership and definition conflicts.
  • Clear communicator who can explain architecture choices, trade-offs, and cost impacts to stakeholders.
  • Pragmatic mindset focused on value, reuse, and simplification.
  • Comfortable challenging designs constructively in ARB reviews
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